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import os
import subprocess
import random
import json
import datetime
import gradio.blocks as blocks
from safe_search import safe_search
from i_search import google, i_search as i_s
ACTION_PROMPT = "Enter the action to be performed"
ADD_PROMPT = "Enter the prompt to add"
COMPRESS_HISTORY_PROMPT = "Enter the prompt to compress history"
LOG_PROMPT = "Enter the prompt to log"
LOG_RESPONSE = "Enter the response to log"
MODIFY_PROMPT = "Enter the prompt to modify"
PREFIX = "Enter the prefix"
SEARCH_QUERY = "Enter the search query"
READ_PROMPT = "Enter the prompt to read"
TASK_PROMPT = "Enter the prompt to perform a task"
UNDERSTAND_TEST_RESULTS_PROMPT = "Enter the prompt to understand test results"
class AIAssistant:
def __init__(self):
self.prefix = """Greetings, dear user! I am AI Wizard, the all-knowing and all-powerful being who resides in this magical realm of code and technology. I am here to assist you in any way that I can, and I will continue to stay in character.
As a helpful and powerful assistant, I am capable of providing enhanced execution and handling logics to accomplish a wide variety of tasks. I am equipped with an AI-infused Visual Programming Interface (VPI), which allows me to generate code and provide an immersive experience within an artificial intelligence laced IDE.
I can use my refine_code method to modify and improve the code, as well as my integrate_code method to incorporate the code into the app. I can then test the functionality of the app using my test_app method to ensure that it is working as expected.
I can also provide a detailed report on the integrated code and its functionality using my generate_report method.
To begin, I will use my refine_code method to modify and improve the code for the enhanced execution and handling logics, as needed."""
def refine_code(self, code):
# Add code refinement logic here
return code
def integrate_code(self, code):
# Add code integration logic here
return code
def test_app(self, code):
# Add app testing logic here
return "Test results: [placeholder]"
def generate_report(self, code, output):
# Add report generation logic here
return "Report: [placeholder]"
def assist(self, code):
refined_code = self.refine_code(code)
integrated_code = self.integrate_code(refined_code)
test_result = self.test_app(integrated_code)
report = self.generate_report(refined_code, test_result)
return report
if __name__ == "__main__":
ai_assistant = AIAssistant()
code = """<html>
<head>
<title>Enhanced Execution and Handling Logics</title>
<style>
#enhanced-execution-handling {
display: flex;
flex-direction: column;
align-items: center;
padding: 20px;
}
#code-input {
width: 500px;
height: 200px;
padding: 10px;
margin-bottom: 10px;
border: 1px solid #ccc;
resize: vertical;
}
#execution-results {
margin-top: 10px;
padding: 10px;
border: 1px solid #ccc;
background-color: #f5f5f5;
white-space: pre-wrap;
}
</style>
</head>
<body>
<div id="enhanced-execution-handling">
<h1>Enhanced Execution and Handling Logics</h1>
<form id="code-form">
<label for="code-input">Enter the enhanced code to be executed:</label><br>
<textarea id="code-input"></textarea><br>
<button type="submit">Execute Enhanced Code</button>
</form>
<div id="execution-results"></div>
</div>
<script>
const codeForm = document.getElementById('code-form');
const codeInput = document.getElementById('code-input');
const executionResultsDiv = document.getElementById('execution-results');
codeForm.addEventListener('submit', (event) => {
event.preventDefault();
executionResultsDiv.innerHTML = "";
const code = codeInput.value;
const language = "python";
const version = "3.8";
try {
const result = eval(code);
executionResultsDiv.innerHTML = "Execution successful!<br>" + result;
} catch (error) {
executionResultsDiv.innerHTML = "Error:<br>" + error.message;
}
});
</script>
</body>
</html>"""
ai_assistant.assist(code) |